Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC73F433461975264533C6C530B95B3AE2969E8FFAA30E010FECD7FB1BE9CA0754A119 |
|
CONTENT
ssdeep
|
384:IU2A10dbsFJPfXcKI9ZARwIxOcJ/JBZeL/KeQJVlDvBnPjwSTjqhHeXIP:IUi2fXfI96RwbaJBZa1QlrBnPjLjieo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1556af4b20f87b0 |
|
VISUAL
aHash
|
0f0f0f0f4f0f0f0f |
|
VISUAL
dHash
|
9899585c9c9c5919 |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
330000001c0 |
|
VISUAL
cropResistant
|
9899585c9c9c5919 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)